(Enter summary)
Abstract: This paper presents a machine learning approach to shallow
parsing using techniques of grammatical inference. We first learn
a deterministic probabilistic automaton that models the joint distribution
of chunk and Part-of-speech tags, and then use this automaton as a
transducer to find the most likely chunk tag sequence using a dynamic
programming algorithm. The resulting transducers can also be combined
with statistical P05' taggers. We also discuss an efficient means of incorporating... (Update)
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BibTeX entry: (Update)
F. Thollard and A. Clark, "Shallow parsing using probabilistic grammatical inference," in Int. Coll. on Grammatical Inference, M. v. Z. P. Adriaans, H. Fernau, Ed., vol. 2484, ICGI. Amsterdam: Springer, September 2002, pp. 269--282. http://citeseer.ist.psu.edu/thollard02shallow.html More
@misc{ thollard02shallow,
author = "F. Thollard and A. Clark",
title = "Shallow parsing using probabilistic grammatical inference",
text = "F. Thollard and A. Clark, Shallow parsing using probabilistic grammatical
inference, in Int. Coll. on Grammatical Inference, M. v. Z. P. Adriaans,
H. Fernau, Ed., vol. 2484, ICGI. Amsterdam: Springer, September 2002, pp.
269--282.",
year = "2002",
url = "citeseer.ist.psu.edu/thollard02shallow.html" }
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